Created by:   University of Washington

  • Emily Fox

    Taught by:    Emily Fox, Amazon Professor of Machine Learning


  • Carlos Guestrin

    Taught by:    Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering

Basic InfoCourse 4 of 4 in the Machine Learning Specialization.
Commitment6 weeks of study, 5-8 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
Course 4 of Specialization


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How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University of Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
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Ratings and Reviews
Rated 4.6 out of 5 of 649 ratings

"super one,

Best Course on ML yet on the Web

A great course as the other 3 courses in the specialization.This course introduces and make us implement Knn,Kd trees,Gaussian Mixture model and LDA model for clustering and retrieval.The data set is the peoples wiki from the Foundations course and theres a assignment on clustering images too.If you have taken the other 3 an do this with ease and if you haven't taken those i think it will be better to take this course after the other 3.

Excellent course! Thanks a lot for the effort in compiling this course... I really enjoyed it!